Skills Plugins MCP Prompt Model 博客 我的中心

uzi

A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=wbh604-uzi-skill-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name uzi description A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports. version 3.9.4 author FloatFu-true license MIT metadata {"tags":["finance","stocks","a-share","hong-kong","us-stocks","dcf","valuation","investor-panel","youzi","lhb","trap-detection"],"related_skills":["deep-analysis","investor-panel","lhb-analyzer","trap-detector"]} UZI Skill Root This root file is the top-level entry for agents that expect a SKILL.md at the repository root. Use the narrowest matching workflow: Full stock research, valuation, IC memo, initiation, catalysts, earnings review, or HTML report: read skills/deep-analysis/SKILL.md . Investor jury, "which investors would buy", panel-only voting, or persona review: read skills/investor-panel/SKILL.md . Hot-money, LHB, seat recognition, or A-share short-term trader analysis: read skills/lhb-analyzer/SKILL.md . Trap detection, pump-and-dump checks, "teacher/group/friend recommended this stock", or safety review: read skills/trap-detector/SKILL.md . Command-specific requests: read the matching file under commands/ . Default Execution From the repository root: python3 run.py <ticker> --no-browser For remote/mobile reports: python3 run.py <ticker> --remote For a single investor school, such as A-share hot-money: python3 run.py <ticker> --school F --no-browser Agent Rules Treat scripts as data and scoring tools, not as final analyst judgment. Do not invent numbers. Use script outputs, cached JSON, or current public evidence. For serious deep-analysis requests, complete the agent review loop described in skills/deep-analysis/SKILL.md before final report assembly. For hot-money analysis, apply LHB seat matching and is_in_range() before making a short-term judgment. For trap detection, scan all eight signals and include concrete evidence when risk is non-trivial. For report template or UI changes, update tests, version metadata, and release notes together.
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。